Page 21 - Fister jr., Iztok, and Andrej Brodnik (eds.). StuCoSReC. Proceedings of the 2016 3rd Student Computer Science Research Conference. Koper: University of Primorska Press, 2016
P. 21
Velik problem pri stiskanju slik z algoritmi po vzorih iz na- 21
rave je njihova ˇcasovna zahtevnost. Kot smo prikazali v
ˇclanku, je ugotavljanje dobrih parametrov, testiranje in sti-
skanje potekalo veˇc dni. Cˇ e ne bi bili ˇcasovno omejeni, bi bilo
zanimivo narediti veˇc zagonov algoritmov nad skupino naj-
boljˇsih parametrov in bi tako lahko dobili drugaˇcne, boljˇse
parametre za stiskanje slik.
Algoritem bi lahko nadgradili tako, da bi lahko slike stiskali
v drugem barvnem modelu, kot sta recimo HSV ali CMYK.
7. REFERENCES
[1] C. Blum and D. Merkle. Swarm Intelligence.
Springer-Verlag, Berlin, 2008.
[2] J. Brest, S. Greiner, B. Boˇskovi´c, M. Mernik, and
V. Zˇumer. Self-adapting control parameters in
differential evolution: A comparative study on
numerical benchmark problems. T. Evolut. Comput.,
10(6):646–657, 2006.
[3] C. Darwin. On the Origin of Species. Harvard
University Press, London, 1964.
[4] A. Eiben and J. Smith. Introduction to Evolutionary
Computing. Springer-Verlag, Berlin, 2003.
[5] I. Fister, M. Mernik, and J. Brest. Hybridization of
Evolutionary Algorithms, Evolutionary Algorithms.
InTech, 2011.
[6] I. Fister, D. Strnad, X.-S. Yang, and I. Fister Jr.
Adaptation and hybridization in nature-inspired
algorithms. In Adaptation and Hybridization in
Computational Intelligence, pages 3–50, Berlin, 2015.
Springer-Verlag.
[7] A. Izadi, V. Ciesielski, and M. Berry. Evolutionary
non photo-realistic animations with triangular
brushstrokes. In AI 2010: Advances in artificial
intelligence, pages 283–292, Berlin, 2011.
Springer-Verlag.
[8] U. Mlakar, I. F. Jr., and I. Fister. Hybrid self-adaptive
cuckoo search for global optimization. Swarm and
Evolutionary Computation, pages –, 2016.
[9] S. Sivanandam and S. Deepa. Introduction to genetic
algorithms. Springer-Verlag, Heidelberg, 2008.
[10] R. Storn and K. Price. Differential evolution: A simple
and efficient heuristic for global optimization over
continuous spaces. J. Global Optim., 11(4):341–359,
1997.
[11] X.-S. Yang and S. Deb. Cuckoo search via levy flights.
In World Congress & Biologically Inspired Computing
(NaBIC 2009), pages 210–214, IEEE Publication,
2009.
[12] A. Zalzala and P. Fleming. Genetic algorithms in
engineering systems. The institution of electrical
engineers, London, UK, 1997.
[13] A. Zamuda and U. Mlakar. Differential evolution
control parameters study for self-adaptive triangular
brushstrokes. Informatica, 39(2):105–113, 2015.
StuCoSReC Proceedings of the 2016 3rd Student Computer Science Research Conference
Ljubljana, Slovenia, 12 October
rave je njihova ˇcasovna zahtevnost. Kot smo prikazali v
ˇclanku, je ugotavljanje dobrih parametrov, testiranje in sti-
skanje potekalo veˇc dni. Cˇ e ne bi bili ˇcasovno omejeni, bi bilo
zanimivo narediti veˇc zagonov algoritmov nad skupino naj-
boljˇsih parametrov in bi tako lahko dobili drugaˇcne, boljˇse
parametre za stiskanje slik.
Algoritem bi lahko nadgradili tako, da bi lahko slike stiskali
v drugem barvnem modelu, kot sta recimo HSV ali CMYK.
7. REFERENCES
[1] C. Blum and D. Merkle. Swarm Intelligence.
Springer-Verlag, Berlin, 2008.
[2] J. Brest, S. Greiner, B. Boˇskovi´c, M. Mernik, and
V. Zˇumer. Self-adapting control parameters in
differential evolution: A comparative study on
numerical benchmark problems. T. Evolut. Comput.,
10(6):646–657, 2006.
[3] C. Darwin. On the Origin of Species. Harvard
University Press, London, 1964.
[4] A. Eiben and J. Smith. Introduction to Evolutionary
Computing. Springer-Verlag, Berlin, 2003.
[5] I. Fister, M. Mernik, and J. Brest. Hybridization of
Evolutionary Algorithms, Evolutionary Algorithms.
InTech, 2011.
[6] I. Fister, D. Strnad, X.-S. Yang, and I. Fister Jr.
Adaptation and hybridization in nature-inspired
algorithms. In Adaptation and Hybridization in
Computational Intelligence, pages 3–50, Berlin, 2015.
Springer-Verlag.
[7] A. Izadi, V. Ciesielski, and M. Berry. Evolutionary
non photo-realistic animations with triangular
brushstrokes. In AI 2010: Advances in artificial
intelligence, pages 283–292, Berlin, 2011.
Springer-Verlag.
[8] U. Mlakar, I. F. Jr., and I. Fister. Hybrid self-adaptive
cuckoo search for global optimization. Swarm and
Evolutionary Computation, pages –, 2016.
[9] S. Sivanandam and S. Deepa. Introduction to genetic
algorithms. Springer-Verlag, Heidelberg, 2008.
[10] R. Storn and K. Price. Differential evolution: A simple
and efficient heuristic for global optimization over
continuous spaces. J. Global Optim., 11(4):341–359,
1997.
[11] X.-S. Yang and S. Deb. Cuckoo search via levy flights.
In World Congress & Biologically Inspired Computing
(NaBIC 2009), pages 210–214, IEEE Publication,
2009.
[12] A. Zalzala and P. Fleming. Genetic algorithms in
engineering systems. The institution of electrical
engineers, London, UK, 1997.
[13] A. Zamuda and U. Mlakar. Differential evolution
control parameters study for self-adaptive triangular
brushstrokes. Informatica, 39(2):105–113, 2015.
StuCoSReC Proceedings of the 2016 3rd Student Computer Science Research Conference
Ljubljana, Slovenia, 12 October
